Datasets:
Add conversion manifest
Browse files- manifest.json +44 -0
manifest.json
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"variant": "code_aligned_minutes",
|
| 3 |
+
"source": "fangru-lin/procedure_generalization_llm",
|
| 4 |
+
"source_commit": "d9bf3485cd41c1050d33471d922c826f474efec1",
|
| 5 |
+
"policy": {
|
| 6 |
+
"input_units": "NL and Graph durations converted to minutes and rounded to two decimals like Code",
|
| 7 |
+
"targets": "all three forms use the released Code numeric target",
|
| 8 |
+
"months": "30 days",
|
| 9 |
+
"years": "365 days",
|
| 10 |
+
"raw_files_modified": false
|
| 11 |
+
},
|
| 12 |
+
"raw_sha256": {
|
| 13 |
+
"asynchow_graph_test.jsonl": "2e55d2f8e24582b7e11384d0e2f02518dfed491d864824c1b1442628228ede99",
|
| 14 |
+
"asynchow_graph_train.jsonl": "60ed4d44478d324a5ca4cb3a51f43ab5ba4bf6f81e1c8519e0c3c3c8f232d5df",
|
| 15 |
+
"asynchow_natural_test.jsonl": "c2bfed8213cd9e7214db01c564209925787e9b2b02d5c799567a0ca68aa5b8d2",
|
| 16 |
+
"asynchow_natural_train.jsonl": "fe39f90e3f4574bd8b60c157e4ded6eac9d8c99e6a11c283350f899d4f9ad74b",
|
| 17 |
+
"asynchow_python_test.jsonl": "2e5bfe0797d71a99afee96e151368a0924bf6ae00e08137f8c5df225a3a9b520",
|
| 18 |
+
"asynchow_python_train.jsonl": "3eda94f4fb12160a04fd85762cba6146efed3efdb7157ccfbb4aff152009c9c0"
|
| 19 |
+
},
|
| 20 |
+
"splits": {
|
| 21 |
+
"train": {
|
| 22 |
+
"examples": 1373,
|
| 23 |
+
"code_target_outside_released_nl_graph_interval": 97,
|
| 24 |
+
"code_target_differs_from_both_exact_interval_endpoints": 136
|
| 25 |
+
},
|
| 26 |
+
"test": {
|
| 27 |
+
"examples": 225,
|
| 28 |
+
"code_target_outside_released_nl_graph_interval": 12,
|
| 29 |
+
"code_target_differs_from_both_exact_interval_endpoints": 16
|
| 30 |
+
}
|
| 31 |
+
},
|
| 32 |
+
"generated_sha256": {
|
| 33 |
+
"data_code_aligned_minutes/asynchow_graph_code_minutes_train.json": "9ee2d9c23a26947607e0de97103ecac013152d75407e2c61930436d15b4c41fe",
|
| 34 |
+
"data_code_aligned_minutes/asynchow_natural_code_minutes_train.json": "f64a5b5b8d35d7e2ca818bb91a8ae8ad2e00924938c14044d12835c4feb99641",
|
| 35 |
+
"data_code_aligned_minutes/asynchow_python_code_minutes_train.json": "6a99ff75bec2c1ae3b8fc6a693f2459bb41224bd71df7ca94379014d277f3b81",
|
| 36 |
+
"data_code_aligned_minutes/dataset_info.json": "dc79da697572a6c3a17657650b982cbcad9a52554587993628ea6bf4b06c1b91",
|
| 37 |
+
"eval_code_aligned_minutes/asynchow_graph_test.jsonl": "49cb0e9bdd78c19849783685e72e528dfbe9ee2478c239698c1dc1a93e66e5fe",
|
| 38 |
+
"eval_code_aligned_minutes/asynchow_graph_train.jsonl": "77ab7c0dfef30bb699144bdde5e27dcbdba08879018179e2fd3ab7fc04a80c42",
|
| 39 |
+
"eval_code_aligned_minutes/asynchow_natural_test.jsonl": "ff0d355b0779638b4a24346f97b418b74d3e455ce67bb6311403ee3334af4054",
|
| 40 |
+
"eval_code_aligned_minutes/asynchow_natural_train.jsonl": "29c3198a54faec917fdde97dd8c7d1f6885517d4e88243c4721024be97ee7666",
|
| 41 |
+
"eval_code_aligned_minutes/asynchow_python_test.jsonl": "5a675a007e3f6d8d02fb485c48dd718a25cd140a963779be9c4b48c273cc2db3",
|
| 42 |
+
"eval_code_aligned_minutes/asynchow_python_train.jsonl": "d9f3287bfa91ed3c52d22fd5ce939d18efc747d5e884e33439b3d1f7f43bc832"
|
| 43 |
+
}
|
| 44 |
+
}
|